We’re applying a new approach to counter cyber attacks

Imagine the benefits of being able to identify an attempt at a zero-day attack in real time.

An enterprise experiencing a “zero-day” security attack has no time — or zero days — to identify and mitigate the threat, otherwise the damage is done. Most attacks occur months before organizations discover them, perpetrators typically have a lengthy window to exploit vulnerabilities.

We wanted to build a tool that would mimic the human behaviour of a security analyst and work in tandem with a customer’s existing security team to serve as an early warning system, as a result we developed MOREAL — a data-driven threat intelligence platform with monitoring, reporting and alerting capabilities — to do just that.

MOREAL sits in a customer’s IT environment and does machine learning — it learns the proper state of being for that particular environment.

Using a proprietary machine-learning algorithm, MOREAL detects and reports unusual activity in an enterprise’s IT environment. When there’s anomalous activity in that environment, the system triggers alerts, maps the event against our global threat database and delivers mitigation suggestions

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